Overview

AudioSangraha is a specialized audio-to-text transcription model designed for developers needing reliable speech-to-text conversion. Unlike general-purpose LLMs, this model focuses on the precise transformation of audio signals into structured text, making it ideal for building automated captioning tools, meeting transcription services, or voice-command interfaces. It is released under the Apache-2.0 license, offering significant flexibility for commercial integration and modification. For developers, this means a lightweight path to adding auditory perception to their applications without the overhead of managing massive proprietary pipelines. It serves as a practical utility for pipelines requiring high-fidelity transcription before passing text to downstream NLP tasks.

Highlights

Efficient audio-to-text conversion for automated transcription workflows.
Apache-2.0 license allows flexible commercial and private deployment.
Ideal for captioning tools and voice-driven application interfaces.
Streamlines data preprocessing for downstream NLP text analysis.

Usage

Install

# Install Hugging Face transformers
pip install transformers torch

SDK Usage

# Load model with transformers
from transformers import AutoModel, AutoTokenizer

model = AutoModel.from_pretrained("AqeelShafy7/AudioSangraha-Audio_to_Text")
tokenizer = AutoTokenizer.from_pretrained("AqeelShafy7/AudioSangraha-Audio_to_Text")

Hugging Face Download

We recommend downloading the model via the Hugging Face CLI or Hub SDK.

Guidance：Before downloading, install huggingface_hub with:

Guidance

pip install -U huggingface_hub

CLI Download

Download the full repository

huggingface-cli download AqeelShafy7/AudioSangraha-Audio_to_Text

Download a single file to a local folder (e.g. config.json into ./dir)

huggingface-cli download AqeelShafy7/AudioSangraha-Audio_to_Text config.json --local-dir ./dir

See the official docs for more CLI options

SDK Download

# 模型下载
from huggingface_hub import snapshot_download
model_dir = snapshot_download('AqeelShafy7/AudioSangraha-Audio_to_Text')

Git Download

Make sure git-lfs is installed first

Git Download

git lfs install
git clone https://huggingface.co/AqeelShafy7/AudioSangraha-Audio_to_Text

To skip LFS large-file downloads, use:

Skip LFS

GIT_LFS_SKIP_SMUDGE=1 git clone https://huggingface.co/AqeelShafy7/AudioSangraha-Audio_to_Text

Model files are hosted on the Hugging Face Hub — download directly via HF CLI / SDK / Git, not through this site.

PyTorch / Transformers Usage

Install Transformers

pip install -U transformers torch

Load the model and run inference

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained('AqeelShafy7/AudioSangraha-Audio_to_Text')
tokenizer = AutoTokenizer.from_pretrained('AqeelShafy7/AudioSangraha-Audio_to_Text')

Full Documentation

来源: HuggingFace

---
license: apache-2.0
base_model: openai/whisper-small
tags:

trnslation

generated_from_trainer

metrics:

wer

model-index:

name: AudioSangraha-Audio_to_Text

results: []
---